Intelligent Pallet Path Control for Slope-Stable Cargo Transport
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Solution Overview
Problem
Intelligent pallets face inefficiencies in cargo transportation due to tilting on slopes, leading to potential cargo falls, especially with heavy loads, as they follow pre-programmed paths without adjusting for inclinations or obstacles, resulting in manual intervention and reduced efficiency.
Innovation Solution
The intelligent pallet acquires real-time shelf, cargo, and obstacle information, adjusts its path based on weight and inclination thresholds, and modifies its route to avoid obstacles, ensuring stable transport and preventing cargo falls by dynamically updating its path and braking modes according to cargo weight and power levels, while also managing power and receiving voice instructions for enhanced operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the intelligent pallet follows a prescribed path without adjustment, then the transportation process is simple and efficient, but the pallet tilts on slopes causing cargo to fall off
Solution Approach 1:
The patent applies dynamics by making the transportation path adjustable rather than fixed. The control system dynamically modifies the prescribed path based on real-time detection of slope conditions, generating modified paths that avoid excessive tilting angles. This allows the pallet to adapt its movement trajectory to maintain cargo stability while still achieving transportation efficiency.
Solution Approach 2:
The patent implements feedback by using sensors to detect actual slope conditions during transportation and comparing them against preset safety thresholds. When the detected tilting angle exceeds the threshold, the system triggers path modification to generate alternative routes. This closed-loop feedback mechanism ensures cargo stability is maintained while preserving overall transportation efficiency.
2Reliability
If the intelligent pallet detects and avoids obstacles dynamically, then cargo safety is improved, but the transportation time increases due to path modifications
Solution Approach 1:
The patent applies preliminary action by pre-establishing multiple alternative paths during the path planning stage. When obstacles or slope conditions are detected, the system can immediately switch to a pre-computed alternative path without time-consuming real-time calculations. This approach maintains cargo safety through obstacle avoidance while minimizing transportation time delays.
Solution Approach 2:
The system dynamically selects from multiple pre-planned paths based on real-time conditions. Rather than recalculating paths in real-time, the intelligent pallet dynamically switches between pre-computed alternative paths, ensuring cargo safety through obstacle avoidance while reducing the time penalty associated with path re-planning.
3Device complexity
If the intelligent pallet uses fixed braking modes, then the control system is simple, but heavy cargo may fall off during braking on slopes
Solution Approach 1:
The patent applies dynamics by making the braking mode adaptive rather than fixed. The control system dynamically selects braking strategies based on real-time detection of cargo weight and slope conditions. For heavy cargo on slopes, the system activates gentle braking modes with lower deceleration rates, while for light cargo on flat surfaces, standard braking is used. This dynamic adaptation ensures cargo stability during braking without requiring overly complex control systems.
Solution Approach 2:
The system changes operational parameters (braking force, deceleration rate) based on detected cargo weight and slope conditions. By adjusting these parameters dynamically, the intelligent pallet maintains simple control system architecture while achieving reliable cargo stability during braking maneuvers on various terrain conditions.
Data Source
AI summary
This application relates to a technical field of cargo transportation and provides a method for controlling an intelligent pallet. The method includes: acquiring current shelf location information and performing movement according to the current shelf location information; acquiring cargo information and retrieving preset path information; acquiring weight information of current cargo and retrieving inclination angle threshold information; acquiring actual inclination angle information, and modifying the preset path information to generate updating path information by comparing the actual inclination angle information with the inclination angle threshold information; associating the updating path information with the cargo information and the cargo weight information and replacing the preset path information with the updating path information; and performing movement according to the updating path information. This application has an effect of improving the efficiency of cargo transportation.